Datasets:
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README.md
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@@ -80,4 +80,30 @@ compute_metrics(dataset["text"], transcriptions, languages=dataset["language"])
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Alternatively, if you already have transcriptions, you might prefer to skip loading the audio:
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```python
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dataset = load_dataset("audioshake/jam-alt", revision="v1.0.0", with_audio=False)["test"]
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```
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Alternatively, if you already have transcriptions, you might prefer to skip loading the audio:
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```python
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dataset = load_dataset("audioshake/jam-alt", revision="v1.0.0", with_audio=False)["test"]
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```
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## Citation
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When using the benchmark, please cite our paper as well as the original Jamendo Lyrics paper:
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```bibtex
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@misc{cifka-2023-jam-alt,
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author = {Ond\v{r}ej C\'ifka and
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Constantinos Dimitriou and
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{Cheng-i} Wang and
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Hendrik Schreiber and
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Luke Miner and
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Fabian-Robert St\"oter},
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title = {{Jam-ALT}: A Formatting-Aware Lyrics Transcription Benchmark},
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eprint = {arXiv:2311.13987},
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year = 2023
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}
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@inproceedings{durand-2023-contrastive,
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author={Durand, Simon and Stoller, Daniel and Ewert, Sebastian},
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booktitle={2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
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title={Contrastive Learning-Based Audio to Lyrics Alignment for Multiple Languages},
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year={2023},
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pages={1-5},
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address={Rhodes Island, Greece},
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doi={10.1109/ICASSP49357.2023.10096725}
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}
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```
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